Revolutionizing Battery Innovation through Artificial Intelligence: The Next Frontier

ABSTRACT The global thirst for sustainable energy storage systems has accelerated the limitations of conventional battery research and development methods. The complex nature of battery chemistries of cathode, anode, electrolytes and their performance metrics demands quicker, cleverer, and more extrapolative methodologies. In this aspect, Artificial Intelligence (AI) has arisen as a metamorphic tool, enabling the fast‐tracked invention, and design of battery materials and systems. This perspective article explores the growing incorporation of AI into battery research and development, and its applications in materials design, performance prognostication, troubleshooting, and process control in fabrication. Moreover, this work inspects contemporary innovations, current challenges, and the potential for AI to revolutionize the entire battery eco‐system, from atom‐level simulations to industrial‐scale production.

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Publication Details

Journal
Advanced Sustainable Systems
Published
2025-12-05
DOI
https://doi.org/10.1002/adsu.202501163
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
0.00
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article

Revolutionizing Battery Innovation through Artificial Intelligence: The Next Frontier

Vinoth Kumar Jayaraman, Hemavathi Sugumar
Advanced Sustainable Systems
Machine Learning in Materials Science
article

Revolutionizing Battery Innovation through Artificial Intelligence: The Next Frontier

Vinoth Kumar Jayaraman, Hemavathi Sugumar
article en

Abstract

ABSTRACT The global thirst for sustainable energy storage systems has accelerated the limitations of conventional battery research and development methods. The complex nature of battery chemistries of cathode, anode, electrolytes and their performance metrics demands quicker, cleverer, and more extrapolative methodologies. In this aspect, Artificial Intelligence (AI) has arisen as a metamorphic tool, enabling the fast‐tracked invention, and design of battery materials and systems. This perspective article explores the growing incorporation of AI into battery research and development, and its applications in materials design, performance prognostication, troubleshooting, and process control in fabrication. Moreover, this work inspects contemporary innovations, current challenges, and the potential for AI to revolutionize the entire battery eco‐system, from atom‐level simulations to industrial‐scale production.

Advanced Sustainable Systems
Central Electrochemical Research Institute (IN), Academy of Scientific and Innovative Research (IN)
Openalex Percentile: Top 68%
Machine Learning in Materials Science
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Revolutionizing Battery Innovation through Artificial Intelligence: The Next Frontier — Vinoth Kumar Jayaraman, Hemavathi Sugumar · Advanced Sustainable Systems (2025) | TGRS Research Map | TGRS